GitHub

Graph Neural Prompting with Large Language Models

Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in ...
GitHub

Knowledge graph-enhanced molecular contrastive learning with functional prompt

This repository is the official implementation of KANO, which is model proposed in a paper: Knowledge graph-enhanced molecular contrastive learning with functional prompt. Firstly, we construct a ...
IEEE

Graph Convolutional Networks for Semi-Supervised Image Segmentation

Abstract: The problem of image segmentation is one of the most significant ones in computer vision. Recently, deep-learning methods have dominated state-of-the-art solutions that automatically or ...
IEEE

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Abstract: Knowledge graph embedding (KGE) aims at learning powerful representations to benefit various artificial intelligence applications. Meanwhile, contrastive learning has been widely leveraged ...